Subjective linguistic analysis

ABSTRACT

A system and related method for the electronic processing of text onto a two-dimensional coordinate system to analyze the attitudinal mindset associated with the text. The system and related method may also be employed to generate text based on a desired attitudinal mindset to impart. The system includes a computer system embodying functions that enable a user to analyze the text. The system includes one or more functions to parse attitudinal words and objective words and associate two-dimensional coordinates with the subjective words. The system further includes one or more functions for mapping the associated two-dimensional coordinates to show the geographic locations of each attitudinal word of the text in relation to each other attitudinal word of the text. The system decomposes attitudinal words into attitudinal equivalence and reference category and enables the generation of a report of the mindset associated with the analyzed text.

CROSS REFERENCE TO RELATED APPLICATIONS

The present invention is a continuation-in part and claims the prioritybenefit of U.S. patent application No. 12/790,124, filed May 28, 2010,entitled “SYSTEM AND RELATED METHOD FOR DIGITAL ATTITUDE MAPPING” by theinventor of the present invention, which parent application is relatedto, and claims the priority benefit of, U.S. provisional applicationNo.. 61/182,536, filed May 29, 2009, entitled “DIGITAL ATTITUDE MAPPINGALGORITHM” by the inventor of the present invention. The entire contentsof both applications are incorporated herein by reference.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention is a system and related algorithm that processesany electronic text onto a Cartesian coordinate system to analyze theunderlying attitudinal mindset of that text through multivariateprocessing; displays the analysis demographically, geographically, andmetrically; and articulates the results into a representative analyticalreport.

2. Description of the Prior Art

In the early 1990's the present inventor, a workers' compensationconsultant working for employers to reduce the magnitude of workplaceinjuries, having written a 350-page self-published book in 1993 onworkers' compensation program management, used it as the primary textfor his 30-hour course. For the most part, the process emphasizedtraditional safety compliance and risk management controls (such assafety committees, transitional work, and addressing injuries of thegreatest expense/pain and suffering). In 1995, in looking to expand theprocess further, in a 1,400-hr. study of “what makes safe companiessafe”, the inventor consciously recognized what he had alwaysintuitively known, that a disgruntled employee is far more likely to gethurt. FIG. 1 is a revised version of the 1997 schematic of anunpublished article developed by the inventor to represent therelationship between worker attitudes and outcomes.

After seeking to blend the left (institutional) and right (cultural)sides of the schematic, the inventor recognized the incompatibility ofsuch a combined result. In seeking to understand the process further,the inventor discovered a unique relationship between stress,frustration, unrealistic expectations, and lack of control over one'ssituation. The process was described in an unpublished article in 1999.FIG. 2 reflects an elementary 2×2 matrix. In essence, the matrixrepresents two opposite pairs of situational attitudes of satisfaction(stuff that makes you feel good) and frustration (stuff that makes youfeel lousy), and, similarly, challenge and acceptance. The right sidereflects expectation that the situation should be different and the leftside reflects expectation that the situation should remain the same.Similarly, the top half reflects lack of perceived control and thebottom reflects perceived control over the situation.

Thereafter, the inventor, in seeking to apply the concept to theworkplace, used the process as a tool to better understand emotionalstress and frustration in improving workers' compensation programs andemployee turnover, from a cultural aspect. In this approach, theinventor expanded the 4×4 matrix to a 6×6 matrix that employed relatablephrases (within each cell) that associated a person's situationalattitudes and transferred those selections back to the 6×6 map toenhance dialogue. It was neither purposeful to expand the matrix ingreater detail than 6×6 nor to automate the process.

The initial process complements the well-established Myers-Briggs TypeIndicator® (MBTI). As such, MBTI recognizes personalities, which can bedescribed as one's identity regardless of the situation. In other words,although the situation changes, one's personality doesn't change verymuch, which begs the question: what is one's identity when the situationdoes change? To the inventor's knowledge, this psychosocial process isthe best layperson's answer to that question. As such, both processesare ultimately interested in psychosocial identity.

In 2002, the inventor copyrighted a 193-page book titled The FrustrationMatrix Guide, detailing the process of the psychosocial piece of theanalysis described above. Included was a series of anecdotal experiencesto provide familiarity and relatability to the psychosocial process. Theentire content of that book is incorporated herein by reference.

In 2003, the inventor recognized that, beyond psychosocial messaging,abstract linguistic words also conformed to the matrix, whether or notdirectly associated with psychosocial tendencies. The linguisticreferencing evolved into attitudinal, psychosocial, human expressionand, most recently, subjective terminology. In this document, the fourterms are used interchangeably.

Although this inventor was not aware of prior technology in the courseof writing the book identified above, Osgood, Suci, and Tannenbaum, intheir 1957 book, The Measurement of Meaning, (1) measured distanceswithin bipolar adjectives based on an analogue technique. In thisapproach, they distinguished intensities (although generally, only asampling) of 78 bipolar adjectives along each continuum. (This inventormapped 16,000 subjective words/phrases, adding nouns, verbs, adverbs,and the remainder of almost all adjectives.) The terms “subjective”,“psychosocial”, and “attitudinal” may be used throughout here asinterchangeable equivalents. Although Osgood et al. described radialdistance; they did not describe a process for constructing lateralmeasurement between the radians. Furthermore, the present invention, innot only exercising independent variable mapping, also employs a digitalapproach. As such, in absence of a subconscious mindsetarchitecture/derivative, Osgood's reference to subconscious mindsetorigin is lacking.

Later, Hardy, in his “Verbal-Visual Framework Method” US publishedpatent application Pub. No. US 2006/0110715 A1 of May 25, 2006, proposeda marketing application employing, for the most part, Osgood's analogmapping process.

Linguistic Analysis Continuum

In order to understand this technology, it is instructive to review therecent history of automated Linguistic Analysis, ranging from TextAnalysis through Sentiment/Opinion Analysis, to the current SubjectiveLinguistic Analysis. FIG. 3 compares and contrasts these threetechnologies. In the mid 1990's, Text Analysis emerged as a form ofLinguistic Analysis that reviewed texts for a wide variety of objectivefactors, such as content, data, information, and knowledge. Currently,there are scores of analytic techniques, including statistics, thatperform many different types of analyses, the most familiar being datamining.

With the aid of Artificial Intelligence (A/I), Natural LanguageProcessing (NLP) facilitated marked improvement in the automatedanalysis of language, primarily by clarifying ambiguity of meaning basedon the context of usage within the text.

As a result, Sentiment Analysis (SA) and Opinion Analysis (OA) (whichare often referred to synonymously) seek to determine an attituderelative to a particular subject or issue. This process emerged in 2005.SA incorporates NLP, computational analysis, and statistics and seeks todetermine an attitude along a particular one-dimensional continuum, suchas from favorability through unfavorability, for the particular issueunder review. OA involves opinion-oriented informational analysis.Although the stated objective of both processes is to determine theattitude of a speaker/writer with respect to a particular topic, theyemploy highly directed solutions for specific applications.

As useful a departure from analysis of strictly objective linguistics asSA and OA are, they do not simultaneously accommodate multiplesubjective continua (e. g., desirability (undesirable through desirable)and also affiliation (collaborative through competitive)). In otherwords, if tasked to analyze both desirability and affiliation in thesame application, SA/OA are unable to do so because of theirone-dimensional aspect. As a result, although SA (primarily) and OA(secondarily) address subjective linguistics, their one-dimensionalreferencing restricts their ability to simultaneously embrace everysubjective word. Given this limitation, and recognizing the positivestep beyond purely objective Text Analysis, if by definition, thepresent invention of Subjective Linguistic Analysis excludes everyobjective word, includes every subjective word, and embracestwo-dimensional continua, SA and OA, which are unable to qualify forthose criteria, fall into a mid-range, or hybrid subjective category.

A parallel approach to the proposed technology is to distinguishsentences, as a whole, as either objective or subjective. Given the lackof two-dimensional mapping, it is constrained to remain within polarity.Removing objective sentences in order to improve the polarity is aviable approach, that is, of course, if one is willing to discard allincluded subjective word messaging when discarding the entire objectivesentence.

Again, the concept of restricting the author's frame of mind to entiresentences is consistent with the notion as presented in this proposedtechnology of segregating objective words from subjective words.However, the platform of an entire sentence often includes multiplesubjective messages. Moreover, lacking a two-dimensional templateconstrains the analysis to polarity continua of single categoryreferencing.

The proposed technology neither restricts the insight to entiresentences nor is it constrained to polarity continua. As such, while thecomposite sentence approach is important within Phase II LinguisticAnalysis, it prohibits entry into Phase III.

The Decomposition Process.

When one hears the subjective word, delicious, subconsciously, threecriteria register: the attitudinal orientation of desirability, themagnitude of highly desirable, and the reference category of taste. (Thepresent invention decomposes attitudinal/subjective words into areference category, magnitude, and orientation of attitude, which isreflected in FIG. 4 and described herein.) Or, if viewed in reverse, themost appropriate words that satisfy the criteria of taste, desirability,and to a high degree, are very similar: delicious, succulent, tasty, anddelectable. The possibility of distasteful, while a member of thereference category of taste, is highly undesirable. Similarly, whilebeautiful is highly desirable, it belongs to a different referencecategory of appearance. Interestingly, beautiful and delicious areattitudinally equivalent in that they both elicit high desirability,even though they belong to different reference categories.

An unsettling realization of equivalent attitudes is that ofmathematical mapping (digitization) whereby, because subjective meaningis ingrained within the combination of equivalent attitude and referencecategory, the outward message, and, therefore, aspect of meaning, hasbecome transcended.

Decomposition of Subjective Words into Reference Category andAttitudinal Equivalents.

Many approaches to Linguistic Analysis have grouped subsets ofsubjective lemmas (basic words) and positioned them along a linearcontinuum, such as from desirability through undesirability, happinessthrough sadness, and strength through weakness. To varying degrees,these efforts have not exhausted identifying every reference category,and, especially, every subjective lemma within the reference category.Moreover, none have been referenced on a two-dimensional template suchthat every lemma is portrayed within a reference category and that everyreference category is presented relative to every other referencecategory. Finally, no other representation has associated everysubjective/attitudinal word in reference to the continua of a pair ofindependent variables.

In the case of Suci et al., 78 categories were listed and containedrepresentative (although not exhaustive) membership of all words in aparticular reference category. The present invention considers that manycategories and more such that there may be 250 or more categories orsome other number provided that all 16,000 subjective lemmas listed incommon usage in the American language are included in a referencecategory and may be in more than one reference category.

The present invention considers the categorization of words and theirassociated lemmas. FIG. 5 described herein is a display of the referencecategory of taste where 41 lemmas within the reference category areshown in a scattered alignment loosely ranging from strong desirability(ambrosial) to strong undesirability (unpalatable). Moreover, they alsoconform to the independent variables of expectation of change(horizontally) and perception of control (vertically). For example, inthe case of unpalatable, one would strongly expect that the situationshould be different (if one were to continue eating) and the presentsituation would indicate that the person lacked perceived control tohave provided desirable taste. It is to be understood that othercategories exist for other groups of words and the “taste” referencecategory is one example. Appearance and quality are two other examplesof word categories.

What is needed is a better mechanism for mapping attitudes from textsand, especially, a mechanism that processes and interprets allsubjective words for the underlying frame of mind.

SUMMARY OF THE INVENTION

The system and process of the present invention evolved from therecognition that psychosocial attitudes could be mapped onto a Cartesiancoordinate system; recognized that abstract attitudinal linguistic wordsand phrases could be individually mapped onto the same system; developeda system and method of mapping, such as through a computer program,manual analysis, or a combination of the two; processed subjective wordsfrom an electronic version of text to respective coordinate locations;analyzed the mapping pattern for demographic, geographic, and metricdistributions; and interpreted the attitudinal mindset of the text. Thetext may originate as written text or be a recording of spoken words.

Given the independent variables of “expectations of change” and“perception of control”, the dependent variables (attitudes) involvesubconscious attitudinal referencing.

The effect of this process is to project mapped attitudinal words onto atemplate that provides a representative signature of thewriter/speaker's underlying mindset as of the time the text wasexpressed.

The process of the present invention: 1) recognizes that a psychosocialconfiguration can incorporate linguistic messaging; 2) distinguishesbetween objective and subjective words; 3) recognizes linear distancereferencing between subjective words (both in radial distance and radialarc); 4) develops a matrix layout of the most representative (generic)subjective words; 5) identifies 16,000 subjective words and phrases andassociates their respective Cartesian coordinates (creates a“dictionary”); 6) implements an algorithm through a computer programthat receives a text, recognizes subjective words, maps the subjectivewords according to the dictionary, and performs multivariate analysisfor demographics, geographics and metrics; and 7) presents a referencingprocess that interprets mathematical references into underlyingattitudinal mindsets.

Whereas usage of the broader term, “dictionary” references all (53,000)subjective words and phrases in common usage and the composite mappingof all subjective words, the term “lemma table” (16,000 words) restrictswords to subjective lemmas. (A lemma is defined as the base word of anoun (in singular form) or verb (in present tense). For example, thelemma of found, finding, and finds, is find, for which the basedefinition is the same.) (Note: it is recognized that some lemmas havemultiple meanings. As is discussed elsewhere in this submission, it isrecognized that NLP competently differentiates words by meaning. Becausethis submission recognizes attitudinal equivalency and is not competingwith the process of distinguishing words by meaning, given the variouscontexts of lemmas in common usage, the number of different meanings forindividual lemmas will necessarily increase well beyond 16,000. The factremains that, for every subjective lemma meaning, this processaccommodates every variation.)

The invention is described in the accompanying drawings, the detaileddescription, and the appended claims.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1, “The Institutional and Cultural Schematic” illustrates thefunctional relationships between attitudes and outcomes.

FIG. 2, “The Primary Attitude Matrix” provides a matrix for mapping thepsychosocial mindset and illustrates the functional relationshipsbetween independent variables of expectation of change and perception ofcontrol and the dependent variable of attitudes.

FIG. 3, “The Three Types of Linguistic Analysis”, differentiateslinguistic analysis techniques on the continuum from objective tosubjective.

FIG. 4, “The Decomposition Process”, illustrates the subdivisions of asubjective word of reference category, orientation, and magnitude.

FIG. 5, “The Linguistic Reference Category of Taste”, shows thedistribution of attitudinal words in the taste reference category.

FIG. 6, “The Two Types of Words” distinguishes between objective words(data, information, content, and function) and subjective words (humanexpression). The locus of this invention excludes objective words,phrases, etc. and includes all human expression words, phrases, etc.

FIG. 7, “Mapping Attitudinal Intensity” recognizes radial distances foran attitude.

FIG. 8, “Cartesian System Generic Attitudes”, maps 25generic attitudinalwords onto a 5×5 matrix.

FIG. 9, “Mapping Lateral Attitudinal Distance”, recognizes lateraldistance between different attitudes.

FIG. 10, “Polar Generic Attitudes”, is a polar version of the Cartesianmatrix of FIG. 8.

FIG. 11, “Sample Dictionary Entries”, is a sample lemma table that alsorecognizes word variations.

FIG. 12A, “Schematic of Computing System”, is a simplifiedrepresentation of the computing system used to generate analysisinformation with the present invention.

FIG. 12B, “Schematic of Computer Algorithm”, shows inputs, outputs, andcomputer processing stages.

FIG. 13, “Virginia Tech Massacre Manifesto Excerpt”, is a 211-wordexcerpt from the full text.

FIG. 14, “Mapped Words of ‘The Virginia Tech. Massacre Manifesto’”,shows the mapped distribution of attitudinal words in the text.

FIG. 15, “Connecting the Dots of ‘Virginia Tech. Massacre Manifesto’”,substitutes dots for subjective words and connects consecutivesubjective words by lines to chronologically represent the attitudinalmapping of the text.

FIG. 16, “Equivalent Attitudes and Reference Categories”, shows themagnitude and tone portions of the generic attitudinal equivalent ofwords from different reference categories.

FIG. 17, “The Linguistic (Polar) Representation” is a polar version ofthe common generic mapping of “highly desirable” for three words ofdifferent reference categories.

FIG. 18 is a graphical representation example of a smoothed “line ofposition” mapping of the reference category “engagement.”

FIG. 19 is a graphical representation example of a smoothed line ofposition mapping of the reference category “control.”

FIG. 20 is a graphical representation example of a smoothed line ofposition mapping of the reference category “sovereignty.”

FIG. 21 is a graphical representation of a composition of the three lineof position curves for the reference categories of FIGS. 18-20, showingthe locus of the aggressive generic tone represented by the compositedmap.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS 1. The LinguisticPiece

After writing the referenced book, the inventor discovered that the samematrix that mapped the psychosocial process in organizationaldevelopment could also representatively map all individual subjectivewords and phrases. Later, a definition of two types of words emerged:objective words included information, data, knowledge, content, andstructure and are normally considered to be absolute and subjectivewords included human expression and are normally considered to beabstract. (See FIG. 6.) This realization gave way to the notion that, ifsubjective/attitudinal words could be uniquely mapped, the compositepattern of a text could reveal one's underlying (subconscious)attitude/mindset/frame of mind. (It wasn't until 2008 that the inventorconsciously realized that the cultural side of the schematic (FIG. 1)predominantly represents the subconscious process.)

The essence of this technology is best shown by examining two sentencesin FIG. 6. Consider the statement, “The woman walked across the street.”If one were asked to describe the mindset of the speaker, the answerwould have to be that, since the expression was totally objective, as inpure reporting, the speaker's mindset could not be identified.

Now, consider the same sentence with the addition/substitution of threesubjective underlined words, “The seductive flirt walked alluringlyacross the street.” What was the writer's mindset? Clearly, the writerwas expressing desire, verging on lust. The only thing that changed wasthe three subjective words.

Although there is little perceived effort to recognize desire or lust,it's also hard to explain this intuitive process. The functionalassociation, however, is more easily recognized on the matrix (FIG. 2),where desire and lust map close to the middle of expecting that thesituation should be different and close to the middle of lackingperceived control over the situation, which, incidentally, involvesfrustration.

2. Quantifying Radial and Lateral Attitudinal Word Distance

The notion that one could linearly, much less geographically, mapsubjective words defies most people's belief. If, however, oneacknowledges that the word, satisfaction, lies somewhere along theradial between neutral and joy and were asked to estimate the location,the choice of “midway” is reasonable. (See FIG. 7.) Based on thatnotion, the inventor expanded the attitudinal word cells from 2×2 to 5×5(FIG. 8). Given the 5×5 configuration, the notion that “positive”(laterally) lies approximately midway between “satisfied” and“challenge” satisfied the lateral spacing (FIG. 9), which, whentranslated from Cartesian to polar (FIG. 10) becomes more evident.

3. Generic Attitudes

FIG. 8 shows the 25 generic attitudinal words of the 5×5 matrix, wherethree additional horizontal rows and three vertical columns wereinserted beyond the primary attitude double pairs of FIG. 2.Interestingly, each word is a highly representative distillation of16,000 attitudinal words and phrase lemmas.

4. The Polar Coordinate Version

Once the Cartesian points are identified, the present inventiontransforms the Cartesian matrix (x, y) into a polar equivalent (r, Θ)using the conversion formulas:

r=√(x ² +y ²)

θ=atan (y/x)

As such, all attitude angularity remains the same and intensity isstandardized. FIG. 10 shows an example of the polar coordinate genericattitudes, as expressed in FIG. 8 of the Cartesian coordinate system.

In the inventor's experience, the Cartesian coordinate system provides amore relatable introductory configuration of the matrix process,primarily because the independent variables of expectations of changeand perceptions of control are linear. It also works better with thepsychosocial approach. A disadvantage of this model is that intensityranges from unity (at the ends of the vertical and horizontal bisectors)to 1.414 times the same value at the four corners. Although both modelsare valid, polar is preferred for the linguistic piece.

5. Recognizing Cartesian Coordinates for All Attitudinal Words

This step involved reviewing over 200,000 words in American Englishusage eight times to establish coordinates for all subjective words.This process references the lemma, which is the basic word. As such,53,000 subjective words of varying tense (verb) and plurality (noun)distill to 16,000 subjective lemmas.

Additionally, emergent breakthroughs in Natural Language Processing(NLP) minimize ambiguity of meaning in polysemous words (which have thesame spelling but different meaning). For example, “like” can becomparative (“This car looks like that car.”) or affiliative (“I like mydog.”) The first example is objective and the second case is subjective.Whether employing NLP software or conventions to attain the closestattitudinal reference, the point of the present invention is not todistinguish meanings between polysemous words based on the context butto map subjective words relative to expectations of change andperceptions of control.

In this application, the process of mapping words onto the matrix evenlyweights the x-coordinate (expectation of change) and y-coordinate(perception of control) to the nearest generic attitude (x- andy-coordinates).

First, one must distinguish subjective words from objective words.Although this step sounds simple, the initial tendency is toover-qualify some objective words as being subjective. For example, theword, “implement”, although appearing to be subjective because the term,control, is associated with an independent variable (perception ofcontrol), is disqualified because the prerequisite of perception is notnecessarily a factor.

The second step is to distill the attitudinal aspect from the meaning ofthe word. (Ironically, in mapping the attitudinal aspect of the word,meaning becomes irrelevant.) In considering word placement, a poetobserved, “You speak wonderfully about this map where every subjectiveword finds its own location and we listen to their wisdom.” Again, theimperative is to recognize the attitudinal equivalence.

A conceptual understanding of both sides of the control corridors isparamount. For example, consider the most appropriate positioning ofwords that include both an active and a passive aspect, such as,overwhelm. Viewed actively, one football team overwhelmed another.Viewed passively, one feels overwhelmed by overdue bills. Whichperspective is most fitting? It's a judgment call based on the primarydefinition, the most appropriate attitudinal definition, the most commonusage as a subjective word, the referencing of other selections in themapped area, the attitudinal equivalence, recognizing the human tendencyto over-validate control, plus other considerations. In the case of“overwhelmed”, the choice is to map the word either very high or verylow in the expectation of change corridor. This inventor chose thepassive version because of its greater feeling/sensation and the notionthat the active version is more objective. Although NLP would recognizethe more appropriate location, given the situational context, thisinventor elected to develop the algorithm before implementing NLP (whichcan always be added later) in order to focus more on the equivalentattitude than the meaning.

Not only is there temptation to consider the vertical “control” aspectwithout perception, the horizontal “expectation” aspect can beconfusing. Consider, for example, the word “hopeful”. On the one hand,one can expect that the situation should be “different” and, thereforeposition it on the right-hand side. On the other hand, one can expectthe item being hoped for as it is perceived, which involves being the“same” and, therefore, should be on the opposite side of the matrix. Thecorrect location of the latter becomes apparent (in mapping to “same”)when one considers the antonym of hopeless, wherein one would obviouslyprefer the situation to be different.

Occasionally, the above methods fail and one must consider neighboringwords. As a rule of thumb, if the rules fit and the word appearsmisplaced among neighboring words, the misfit prevails and the word mustbe relocated. Although this inventor initially attempted to imposeacademic rules on the process, it quickly became clear that rules mostlyinhibit the process. As it turned out, rather than being primarily adeductive process, it is primarily an inductive one.

In the example from FIG. 6 of mapping seductive, flirt, and alluringly,the appropriate location is in the Frustration Quadrant. By definition,being frustrated involves expecting the situation to be different andperceiving lack of control over the situation. The term, desire, whichmaps close to frustration, makes the positioning of the three words inthe Frustration Quadrant more relatable.

In the process of mapping the words, the inventor initially associatedthe word under review with the closest generic attitude and thenadjusted to the nearest five percentage points relative to the closestgeneric attitude toward which the mapping might lean. For example, theword, “accountable” was closest to “accepting” (40% same, 40% lack ofperceived control). Based on the inventor's judgment, 40% “same”appeared to be representative and so the inventor maintained 40% “same”.However, 40% lack of perceived control appeared to be understated and sothis inventor adjusted to 50% lack of perceived control. Based on anequal weighting of geographic percentages and generic attitudes, themapping point computed to the pair (−0.4, +0.5).

By convention, each generic attitude is located in the middle of thecell. As such, the Cartesian value of the generic attitude cellsreflects 20 percentage point increments.

As to the question of how the inventor established the 25 genericattitudes (a “chicken and egg” situation), the process involved trialand error, with several hundred candidates temporarily serving asgeneric attitudes throughout the process. As such, not only did thegeneric attitudes have to be representative of the mapped words, theconfiguration of the 16,000 lemmas also had to conform to the mostappropriate generic attitude membership.

In the first several passes, this inventor guided the selection of themapping points based on generic attitudes. After gaining confidence inthe process, this inventor reversed the sequence by first selecting themapping points and then confirming the referencing with the genericattitudes, which was deemed to be more valid. This process was latercross-checked when every attitudinal word/phrase was assigned to areference category; just as delicious was assigned to the referencecategory of taste. Once the words were viewed from an entirely differentperspective, many relatively minor and a few major adjustments weremade, which substantially improved this inventor's confidence of themapping point identification.

Intensity, which is the distance from neutral to the subjective word, iscomputed trigonometrically.

Based on the convention of the present system, a table recognizing53,000 subjective words/phrases was distilled to 16,000 lemmas that,when accessed, recognize the queried subjective word and associatedCartesian coordinate location. FIG. 11 is a sample lemma table.

6. The Analysis Function

The system of the present invention includes a function to automaticallyprocess any electronic text, recognize the subjective words, associateCartesian and polar coordinates for each subjective word based on thelemma table, and map each word onto a Cartesian and polar coordinategrid. Once mapped, the user can view analysis of demographicdistributions and patterns, such as the population (or percentiles) in aparticular quadrant, corridor (adjacent quadrants), or major triangle,as well as map a chronological sequence of the subjective word usage.While the invention description focuses on the use of the Englishlanguage, the system and process can be employed for any other language.

Based on the geography of the mapping pattern, relative to theindependent as well as dependent variables, the speaker/writer'sunderlying subconscious mindset can be interpreted.

7. System Automation

The present invention is a system and method configured to enable usersto process text onto a Cartesian and polar coordinate system to analyzethe underlying attitudinal mindset associated with that text and displaythe analysis demographically, geographically and metrically. The systemof the present invention is the set of functions described hereinembodied in a computing system programmed to perform functional stepsassociated with the method for modeling to be described herein. FIG. 12Ashows a representation of a computer system 100 suitable forimplementing the functions of the system. The computer system 100 shownis only one example of a suitable computing environment and is notintended to suggest any limitation as to the scope of use orfunctionality of the invention. For example, the computer system 100 maybe associated with local or remote computing means, such as one or morecentral computers, such as server 110 in a local area network, ametropolitan area network, a wide area network, or through intranet andinternet connections.

The computer system 100 may include one or more discrete computerprocessor devices, represented by desktop computer 120, for example.Examples of well known computing devices that may be suitable for usewith the invention include, but are not limited to, personal computers,server computers, hand-held or laptop devices, multiprocessor systems,microprocessor-based systems, set top boxes, programmable consumerelectronics, network PCs, minicomputers, mainframe computers,distributed computing environments that include any of the above systemsor devices, and the like. The computer system 100 may include computerdevices operated by one or more users, such as through a desktop,laptop, or servers, and/or one or more providers of servicescorresponding to one or more functions of the invention.

The server 110, the computer processor 120, or a combination of both maybe programmed to include one or more of the functions of the inventionsystem. One or more databases represented by database 130 that may beassociated with the server 110, the computer processor 120, othercomputing devices, or any combination thereof, include informationrelated to the use of the invention system. For example, the database130 may include information of importance to the user. The database 130may be populated and updated with information provided by an applicationprovider capable of carrying out one or more of the steps associatedwith the system of the invention, one or more businesses, or any otherinformation providers. All of the devices may be interconnected throughone or more signal exchange devices, such as router/switch 140.

The invention may be described in the general context ofcomputer-executable instructions, such as program modules, beingexecuted by a computer. Generally, program modules include routines,programs, objects, components, data structures, etc. that performparticular tasks or implement particular abstract data types. Asindicated above, the system of the present invention may also bepracticed in distributed computing environments where tasks areperformed by remote processing devices that are linked through acommunications network or other data transmission medium. In adistributed computing environment, program function modules and otherdata may be located in both local and remote computer storage mediaincluding memory storage devices.

The computer processor 120 and interactive drives, memory storagedevices, databases and peripherals may be interconnected through one ormore computer system buses. The system buses may be any of several typesof bus structures including a memory bus or memory controller, aperipheral bus, and a local bus using any of a variety of busarchitectures. By way of example, and not limitation, such architecturesinclude Industry Standard Architecture (ISA) bus, Micro ChannelArchitecture (MCA) bus, Enhanced ISA (EISA) bus, Video ElectronicsStandards Association (VESA) local bus, and Peripheral ComponentInterconnect (PCI) bus.

Computer system 100 typically includes a variety of computer readablemedia. Computer readable media can be any available media that can beaccessed by computer system 100 and includes both volatile andnon-volatile media, removable and non-removable media. By way ofexample, and not limitation, computer readable media may comprisecomputer storage media and communication media. Computer storage mediaincludes volatile and non-volatile, removable and non-removable mediaimplemented in any method or technology for storage of information suchas computer readable instructions, data structures, program modules orother data. Computer storage media includes, but is not limited to, RAM,ROM, EEPROM, flash memory or other memory technology, CD-ROM, digitalversatile disks (DVD) or other optical disk storage, magnetic cassettes,magnetic tape, magnetic disk storage or other magnetic storage devices,or any other medium which can be used to store the desired informationand which can accessed by computer system 100.

The computer system 100 further includes computer storage media in theform of volatile and/or non-volatile memory such as Read Only Memory(ROM) and Random Access memory (RAM). RAM typically contains data and/orprogram modules that are accessible to and/or operated on by computerprocessor 120. That is, RAM may include application programs, such asthe functional modules of the system of the present invention, andinformation in the form of data. The computer system 100 may alsoinclude other removable/non-removable, volatile/non-volatile computerstorage and access media. For example, the computer system 100 mayinclude a hard disk drive to read from and/or write to non-removable,non-volatile magnetic media, a magnetic disk drive to read to and/orwrite from a removable, non-volatile magnetic disk, and an optical diskdrive to read to and/or write from a removable, non-volatile opticaldisk, such as a CD-ROM or other optical media. Otherremovable/non-removable, volatile/non-volatile computer storage mediathat can be used in the computer system 100 to perform the functionalsteps associated with the system and method of the present inventioninclude, but are not limited to, magnetic tape cassettes, flash memorycards, digital versatile disks, digital video tape, solid state RAM,solid state ROM, and the like.

The drives and their associated computer storage media described aboveprovide storage of computer readable instructions, data structures,program modules and other data for the computer processor 120. A usermay enter commands and information into the computer processor 120through input devices such as a keyboard 101 and a pointing device 102,commonly referred to as a mouse, trackball or touch pad. Other inputdevices (not shown) may include a microphone, joystick, game pad,satellite dish, scanner, or the like. These and other input devices areconnected to the computer processor 120 through the system bus, or otherbus structures, such as a parallel port, game port or a universal serialbus (USB), but is not limited thereto. A monitor 103 or other type ofdisplay device is also connected to the computer processor 120 throughthe system bus or other bus arrangement. In addition to the monitor 103,the computer processor 120 may be connected to other peripheral outputdevices, such as printers (not shown).

The computer processor 120 may be configured and arranged to perform thedescribed functions and steps embodied in computer instructions storedand accessed in any one or more of the manners described. The functionsand steps, such as the functions and steps of the present inventiondescribed herein, individually or in combination, may be implemented asa computer program product tangibly as computer-readable signals on acomputer-readable medium, such as any one or more of thecomputer-readable media described. Such computer program product mayinclude computer-readable signals tangibly embodied on thecomputer-readable medium, where such signals define instructions, forexample, as part of one or more programs that, as a result of beingexecuted by the computer processor 120, instruct the computer processor120 to perform one or more processes or acts described herein, and/orvarious examples, variations and combinations thereof Such instructionsmay be written in any of a plurality of programming languages, forexample, XML, Java, Visual Basic, C, or C++, Fortran, Pascal, Eiffel,Basic, COBOL, and the like, or any of a variety of combinations thereof.The computer-readable medium on which such instructions are stored mayreside on one or more of the components described above and may bedistributed across one or more such components.

Any text to be analyzed can be input into the computer processor 120. Asrepresented in FIG. 12B, once that text has been inputted in the InputPhase of the method of the present invention, the one or more computerprograms comprising the functions of the present system access theDictionary of preloaded subjective words and associated Cartesiancoordinates. As words from the text are sequentially compared to listedsubjective words, those that are present register and the respectiveCartesian coordinates are assigned. When all words of the text arereviewed, the computer program creates an electronic map on the matrixshowing the geographic locations of all of the listed subjective wordsfrom the text. That is, the present invention transforms the computersystem 100 to generate an output that would not be enabled without theinvention.

In the Output Phase, the user selects from a menu of demographicdistributions. Both quantity and percentages are available for thefollowing categories: quadrant demographics, corridor demographics,major triangle demographics, frequency, and intensity. Also, a map ofeach subjective word can be selected as well as a map of chronologicallyconnected points of those words, which also computes the averagedistance between all sequential subjective words, as a percentage ofquadrant width.

The invention provides a computer-implemented method of processingthrough software and the computer system 100 embodying functions thatenable a user to analyze text for the underlying attitudinal mindsetassociated with that text. The computer-implemented method uses thefollowing computer-implemented functions, the computer system 100 andone or more databases represented as database 130 to execute a wordparsing function and a word filtering function that parses words of thetext into objective words and subjective words and stores the parsedwords of the text in the one or more databases. A word analysis functionis also executed that compares the parsed subjective words withregistered subjective words preloaded in the one or more databases,associates two-dimensional coordinates with each of the subjective wordsof the text as a result of the comparison and stores the associatedtwo-dimensional coordinates for the subjective words of the text in theone or more databases. A mapping function may further be executed thatcreates a map showing geographic locations of each subjective word ofthe text in relation to each other subjective word of the text.

The invention also provides as part of the computer-implemented methodan output selection function that enables the user to display a map ofchronologically connected points of the subjective words of the text andto compute the average distance between sequential subjective words as apercentage of quadrant width. A report generation function of thecomputer system may be executed to create a report interpretive of thetext based on the map created by the mapping function. The presentinvention also provides a computer-implemented method of assigningdigital attributes to subjective words using the computer system 100 toexecute the word analysis function to associate two-dimensionalcoordinates to the subjective words. The invention further provides acomputer-implemented method of generating text to reflect a selectableattitudinal mindset associated with that text in which the mappingfunction of the computer system 100 is executed to select geographiclocations of interest for subjective words to include in the generationof the text and executing the word analysis function to returntwo-dimensional coordinates corresponding to the selected geographiclocations of interest and to return from the database 130 subjectivewords associated with the returned two-dimensional coordinates. Theinvention also provides a text generating function of the computersystem 100 to generate text including the returned subjective words andreflective of the attitudinal mindset. As an aspect of the invention,there is yet further provided a computer-implemented method ofdelaminating subjective words by executing the word analysis function todecompose the subjective words into attitudinal equivalence andreference category.

8. The Interpretation Process

Just as attitudes and human expression are perceived to be abstractelements, lacking interpretation, a numerical value of a matrixreference (e. g., 40% satisfied, 16% expecting change, or 65%collaborative), while providing informational stepping-stones, fails tosufficiently express the underlying mindset. However, given mathematicalreferences, like learning any foreign language, practice hones the art.Although more detailed expansions on this technology will be presentedin the future, this section provides a sense of how the functions of thepresent invention transform the computer system 100 to interpretmathematical referencing into the mindset associated with the writer ofthe text under analysis.

Initially, most will find the absence of information, knowledge, contentand meaning to be disconcerting. However, interpreting the mindset isentirely different from “learning what is on someone's mind”. So, oneshould forget what is happening and allow the metrics to guide towardthe mindset.

The first step is to understand the geography of the matrix, recognizingthat the independent variable of expectation of change (same throughdifferent) incorporates both the more abstract notion of expectation andthe more absolute reference of continuum of change. Similarly,perception of control exercises both of the terms, perception (moreabstract) and control (more absolute). For example, if one expectschange and perceives lack of control, the attitude is frustration, bydefinition. If, however, one shifts perception for the same situationfrom lack, thereof, to presence, then one shifts to challenge—whether ornot control is present. If it is not perceived, it doesn't qualify onthe matrix, regardless of its existence.

Thereafter, population densities provide mathematical concentrationsthat can be interpreted psychosocially, based on degree. For example,90% satisfaction converts to “very strongly satisfied” and 15% challengeconverts to “slight challenge”.

The corridors of expectation of change translate better to “emotionalstress” for “different” and harmonic for “same”, with graduatedincrements along the continuum. Perception of control translates best toempowerment, or lack, thereof. In practice, greater usage falls uponexpectation of change than “same” and considerably more perception ofcontrol occurs than lack, thereof

After understanding the independent variables, the four primaryattitudes of satisfaction, frustration, challenge, and acceptance mustbe understood in terms of the independent variables. Typically, theacceptance quadrant (which incorporates values, beliefs, andspirituality) is the least exercised quadrant and the challenge quadrant(which reflects “unfinished business”) is the most utilized quadrant.

There are two pairs of major triangles: desirable/undesirable andcollaborative/competitive. As such, equal distances away from the majordiagonals constitute equivalent values within each respective triangle.For example, just as the five generic attitudes along thedesirable/undesirable boundary of: tranquil, accepting, neutral,challenge, and assertive in FIG. 8 are neutral and equivalent from adesirable/undesirable standpoint, the next four in line towardundesirable of: submissive, unsure, different, and ambitious areconsidered equivalent in terms of being slightly undesirable. Also, inthe practice of interpreting metrics, the desirable/undesirabletriangles associate with satisfaction/dissatisfaction, which thisinventor often relies upon.

This same analogy also applies for the collaborative/competitivetriangular pair. Of note, if the notion of competitive is destructive,then hostile is more appropriate. If, however, the notion of competitiveis constructive, motivational is more appropriate.

Superimposed upon the Emotional Axis are the attitudes of relationship,fairness, and reasonableness. Interpretation of an entry in terms of oneof these categories conforms to the perpendicular distance away from themajor boundary, just as in desirability. As such, an entry in the joygeneric attitude could mean a highly desirable relationship, highlyfair, or highly reasonable.

An important recognition is not only where the dots concentrate, butalso where they do not concentrate. Often, these figurative “deserts”provide pertinent insight into the mindset interpretation of the text.

The demographic and geographic populations are easier to interpret thansymmetries and higher order metrics, which follow.

Major diagonal axes of Emotional (frustration to satisfaction) andConviction (acceptance to challenge) are very important in recognizingthe mindset. Generally speaking, one can tell to which axis the dotsmost closely align, which determines the reliance, and to whatdegree/extent.

Three derived metrics of: attitudinal frequency, intensity, and distancealso provide an insightful view into the speaker/author's subconsciousframe of mind.

-   -   Attitudinal Frequency is the percentage of subjective words        within the text. In general, attitudinal frequency references        the speaker/author's subconscious effort to subliminally        influence. Given the average percentage of narrative or        conversation of 18%, persuasion, which reflects conscious and        subconscious interest in influencing, is at 23% and, at the        opposite end, scientific and technical journals, which seek to        avoid overt subliminal influencing, rely, instead, on scientific        principle, average in the mid-teens. Low percentages, however,        even in the middle teens, do not necessarily specify scientific        or technical referencing. This inventor has observed this        practice in poetry, which can employ an austerity of subjective        words to achieve understated effect.    -   Attitudinal Intensity is self-explanatory and can (but does not        always) express forcefulness.    -   Attitudinal Distance is the geographic distance between        consecutive subjective words/phrases, measured as a percentage        of one quadrant length/width. The significance of attitudinal        distance is the eloquence that is expressed. Of practical use,        attitudinal distance averages 94.5%, least for instruction at        88% (and, surprisingly, factual advertising at 82.9%) and most        for prayer and persuasion, poetry, and tribute (99%). In        addition, an analogy exists with oxymorons, which are        consecutive pair, consciously-recognized, incongruities, such as        “wicked good” (attitudinal distance of 150%), and “awfully good”        (attitudinal distance of 160%). Subconsciously, they create        tension and are favored as subconscious intensifiers. A stronger        example of attitudinal distance is Shakespeare's “parting is        such sweet sorrow” (attitudinal distancing of 180%) in Romeo and        Juliet“, where, outwardly, “sweet” is an entirely inappropriate        modifier of “sorrow”, in part, because 1) it is the wrong        reference category (taste vice feeling) and 2) it is the obverse        modifier (desirable vice undesirable). Yet, instead of being        patently wrong, it is succinctly correct. Just as the more        evident “sweet sorrow” creates subconscious stimulation/tension,        every consecutive pair of subjective words provides a        quantifiable subconscious tension, wherein this subconscious        stimulation/tension is directly proportional to the distance        metric. In the inventor's opinion, attitudinal frequency and        distance are more useful than intensity.

In terms of interpretation, it is easier to begin with raw metrics ofdot distribution and then proceed to the weighted metric indices, whichprovide a more subtle message.

The electronic text automatically generates a ledger of representativemetric indices (e.g., “emotional stress: 75%”) and identifies typicalthrough atypical values.

9. Developing the Report

Developing an analytical report follows along similar lines for mostanalytical reports. For example, a financial analysis first identifiesthe largest expenses or atypical projections and a loss control analysisbegins by identifying the greatest cost of damage or the source ofgreatest injuries. By the same token, in examining the metric indices,it becomes evident which are the largest or the most atypical and thesemost prominent elements associate the appropriate pro forma statements,which set the tone for and contribute to the construction anddevelopment of the nature and direction of the report. In general,reviewing a text to interpret the subconscious attitudinal mindsetinvolves open-mindedness, practice, and an artistic flair.

10. Review of “The Virginia Tech. Massacre Manifesto”

An example of applying the mapping process is shown in FIG. 13, “TheVirginia Tech. Massacre Manifesto”, a 211-word excerpt where subjectivewords are underlined and FIG. 14 shows the mapping of subjective wordsonto the matrix. FIG. 15 shows the consecutively linked of subjectivewords. Derived features include the percentage distribution of entrieswithin the four primary quadrants and the sequential connection of thedots. A review, which analyzes for underlying attitudinal mindsets,follows.

73% of entries in the Emotional Stress corridor is highly unusual andreflects a dangerous situation. In particular, with a strong density inthe Challenge Quadrant, the notion to effect change, in combination withanger and frustration, translates to a hostile interpretation of thistext. Clearly, the majority of entries form within the lower right-handtriangle (the Competitive Triangle). In particular, the density ofentries farther from the center of the map (which reflects lack ofneutrality), reflects a discomforting multiplier. With only two entriesin the Acceptance Quadrant and seven entries in the SatisfactionQuadrant, as contrasted with 24 entries in the Emotional Stress domain,the interpretation becomes more ruthless and sinister.

Assurance of purpose is reflected in the density of entries ranging fromconfidence to assurance in the middle of the lower vertical boundary andthe absence of any uncertainty entries, which, if present, would havebeen located in the upper portion of the middle vertical boundary.

Since the majority of the connecting lines are parallel to the EmotionalAxis (more from upper right to lower left than upper left to lowerright), the author is expressing strong emotional instability (“Now Ifeel good. Now I feel lousy. Now I feel good. Now I feel lousy . . . ”),which makes this text one of high concern.

The present invention considers subjective words that may includepartial objective meaning as well. The word “handshake” provides both anobjective action and also symbolizes goodwill or a promise of action,which are subjective in nature. Therefore, the analysis describedhereunder sometimes includes as subjective words those words which mayalso be considered objective by considering such words in the context ofthe entire text.

The present invention can be fairly summarized as the integration ofattitudinal equivalence (which may be further parsed intocharacterizations of magnitude and tone) and reference categories forall subjective words, as represented in FIG. 16 wherein subjective wordsare decomposed into attitudinal equivalence and reference category asshown and analyzed as previously described herein. In the example of thephrase “highly desirable” shown in FIG. 16, “highly” corresponds to themagnitude of the term and “desirable” corresponds to the tone of theterm and demarks the polar linguistic representation of the term. Theparsed term may be further characterized as a function of the particularreference category. For example, with respect to taste, “highlydesirable” corresponds to the word “delicious” that may then be mapped.As such, that word and the others shown in FIG. 16 are genericequivalents with respect to their subjective nature. The polarcoordinate representation of the equivalent attitudes is shown in FIG.17 and may be described in a similar manner as used in describing thepolar configuration established in FIG. 10. In essence, FIG. 10 and FIG.17 represent the same domain where FIG. 10 guides more toward thedependent variables of specific (psychosocial) attitudes within thepolar region and FIG. 17 is directed more toward the generalpsychosocial domains. As such, FIG. 17 enables a more relatable mappingof subjective words (in accordance with FIG. 16) where using only FIG.10 makes the jump from subjective linguistics directly to mapping morecumbersome. Interestingly, the eight external terms outside the polarregion of FIG. 17 of: ease, collaboration, uncertainty, undesirability,difficulty, competition, and assurance, which enable this smoothertransition, emerge as pivotal and more strategic psychosocialreferencings in the interpretation process.

In analyzing subjective words, FIGS. 8 (Cartesian) and 10 (polar)provide digital representations of the decomposed equivalent attitudes.Based on a broad menu of multivariate analysis of equivalent attitudes,an entire, stand-alone analysis can be made of the author's underlyingframe of mind using only equivalent attitudes. Interestingly, thecomplement (in the decomposition process) of reference categoriesprovides a second, stand-alone source for analysis of the author'sunderlying frame of mind.

It may be recalled that FIG. 5 shows mapping of 41 subjective words in ascattered alignment loosely ranging from strong desirability (ambrosial)to strong undesirability (unpalatable). Upon statistical smoothing, asingle, slightly curved line characterizes the mapping flow. Givenapproximately 250 reference categories, which also contain all of the16,000 mapped subjective root words (which were the same used forequivalent attitudes), each individual reference category enjoys its ownsignature statistical mapping modulated “line of position” where some(like the taste reference category) are generally linear but where mostothers are less linear although still conformal to the statisticalsmoothing process.

As a text under analysis presents one or more entries in a particularreference category, a “line of position” that is associated with thatparticular reference category is representative of the more general toneof the text. (While just a single entry in a reference category isrelevant, the addition of another entry for the same reference categorymarkedly increases the confidence of validity of that “line ofposition”.) As several reference categories emerge (especially withmultiple entries in each reference category), the “lines of position”can be superimposed onto the generic attitudes matrix of FIG. 8 and thelocus of intersection of all of the “lines of position” demark thegeneral tone of the text.

FIGS. 18-20 show example individual statistically-smoothed referencecategory lines of position for each of the reference categoriessovereignty, engagement, and control. FIG. 18 shows the superposition ofthose three independent reference category lines of position. As can beseen, the locus of intersection occurs in the lower right-hand corner ofthe matrix in this example, which, based on the generic attitudes ofFIG. 8, identifies the overall tone of the text as aggressive.

The present invention provides for the distillation of subjective wordsinto more generic equivalencies. With reference to the example of FIG.16, the words delicious, beautiful, and excellent all elicit highdesirability as the attitudinal equivalent based on the three primarycomponents magnitude, tone and reference category of every subjectiveword. FIG. 17 shows the interface between the decomposition model andpolar (linguistic) representation.

While much of the discussion herein about the present invention isdirected to the decoding of text for an assessment of attitudinal stateof mind of the author, the invention also provides for the encoding ofwords to establish text representative of attitudinal state of mind.Specifically, a user of the system may identify a particular tone andmagnitude of text that may be of interest. The invention embodied in thesoftware as described herein includes a function for generating text ofa selectable tone and magnitude wherein a mapping in a particularCartesian or polar coordinate configuration may first be set and thenthat desired tone used to extrapolate text. This functionality may beused to assist creating a document that produces a desired message forreaders. Additionally, this functionality may be combined with theinterpolative functionality previously described to carry out a dialogueprimarily or completely through the system. Such capability to generatetext of a particular tone and magnitude to match or to attempt topersuade a change in tone and magnitude in an exchange with a party mayhave a wide range of applications including, but not limited to engagingwith individuals that may be security risks to either entice them intodetailed disclosure or to influence a change in perceived contemplatedaction. Another option for such an interactive “tone thesaurus” may beemployed in a device suitable for interaction with others including, butnot limited to, robotics which have implemented intelligence that canunderstand and generate a range of attitudinal exchanges.

In effect, the present invention digitizes human expression. Ittransforms subjective linguistics into mathematical representations thatmay be characterized as well as used to generate text. A computerprogrammer thereby has the capability to incorporate subjectivelinguistics into a program. The result may be a computing device capableof functioning at a human preconscious/subconscious level of “thinking.”Given that functionality, a computing device can interact with a humanand/or with other computing devices to understand and impartsubconscious human messaging.

It is to be understood that the interpolation and extrapolationfunctions described herein may be implemented in any language and thecharacterizations of tone remain common for all languages. Therefore,the associated expectations of change and perceptions of controlregarding text observed or generated are unchanged when words of anylanguage are entered in reference categories. The result is an avoidanceof misunderstanding of the underlying tone in received text or generatedtext.

References Cited Are: 1. Osgood, Charles E., Suci, George J.,Tannenbaum, Percy H (1957). “The Measurement of Meaning”. University ofIllinois Press.

2. Pang, Bo; Lee, Lillian (2008). “4.1.2 Subjectivity Detection andOpinion Identification”. Opinion Mining and Sentiment Analysis. NowPublishers Inc.http://www.cs.cornell.edu/home/llee/opinion—mining-sentiment-analysis-survey.html.3. Rada, Mihalcea; Carmen Banea and Janyce Wiebe (2007). “LearningMultilingual Subjective Language via Cross-Lingual Projections”.Proceedings of the Association for Computational Linguistics (ACL). pp.976-983. http://www.cse.unt.edu/˜rada/papers/mihalcea.ac107.pdf.

4. Bo Pang; Lillian Lee (2004). “A Sentimental Education: SentimentAnalysis Using Subjectivity Summarization Based on Minimum Cuts”.Proceedings of the Association for Computational Linguistics (ACL). pp.271-278.

http://www.cs.cornell.edu/home/llee/papers/consent.home.html.

The present invention as described is a system and related method foranalyzing the attitudinal expressions associated with text. Theinvention has been described with specific reference to a certainsystem, functions, algorithms and method steps configured to enable acomputing system to perform the actions described and to enablecompletion of an attitudinal analysis. The invention is not limited tothe specific arrangements and outputs described herein. It is to beunderstood that the invention includes all reasonable equivalents.

What is claimed is:
 1. A computer-implemented method of processing textto analyze the underlying subconscious mindset associated with thattext, the computer-implemented method using a computer system having (i)a plurality of computer-implemented functions, and (ii) one or moredatabases, the computer-implemented method comprising the steps of: a)executing a word parsing function and a word filtering function of thecomputer system that (i) parses words of the text into objective wordsand subjective words; and (ii) stores the parsed subjective words of thetext in the one or more databases; b) executing a word analysis functionof the computer system that: (i) compares the parsed subjective wordswith registered subjective words preloaded in the one or more databases,wherein the registered subjective words include substantially allsubjective words and are assigned two-dimensional coordinate valuesbased on expectation of change associated with one of the two dimensionsand perception of control associated with the other of the twodimensions, wherein expectation of change reflects a range fromexpectation that a situation should be different to expectation that asituation should remain the same and wherein perception of controlreflects a range from lack of control of a situation to perceivedcontrol of a situation; (ii) associates two-dimensional coordinates witheach of the subjective words of the text as a result of the comparisonwith the registered subjective words; and (iii)stores the associatedtwo-dimensional coordinates for the subjective words of the text in theone or more databases; and c) executing a mapping function of thecomputer system using the two-dimensional coordinates that creates a mapshowing geographic locations of one or more subjective words of the textin relation to one or more other subjective words of the text, whereincollocated mapping points of two or more subjective words constituteattitudinal equivalence of those two or more subjective words.
 2. Thecomputer-implemented method of claim 1 further comprising the step ofexecuting an output selection function of the computer system thatenables a user to select from a menu of multivariate distributions fromthe map of subjective words.
 3. The computer-implemented method of claim2 wherein the multivariate distributions are selected from the groupconsisting of, but not limited to, quadrant demographics, corridordemographics, major triangle demographics, frequency, intensity, andaverage distance.
 4. The computer-implemented method of claim 1 furthercomprising the step of executing an output selection function of thecomputer system that enables the user to display a map ofchronologically connected points of the subjective words of the text andto compute the average distance between sequential subjective words, asa percentage of quadrant width.
 5. The computer-implemented method ofclaim 1 further comprising the step of executing a report generationfunction of the computer system that creates a report interpretive ofthe text based on the map created by the mapping function.
 6. Thecomputer-implemented method of claim 1 wherein the two-dimensionalcoordinates are Cartesian coordinates.
 7. The computer-implementedmethod of claim 6 further comprising the step of executing the wordanalysis function of the computer system to convert the Cartesiancoordinates associated with the registered subjective words into polarcoordinates prior to executing the mapping function.
 8. Thecomputer-implemented method of claim 1 wherein the registered subjectivewords of the one or more databases comprise substantially all tenses andsingular and plural forms, thereof
 9. A computer-implemented method ofassigning digital attributes to subjective-equivalence words, thecomputer-implemented method using a computer system having one or morecomputer-implemented functions, the computer-implemented methodcomprising the step of executing a word analysis function of thecomputer system that associates two-dimensional coordinates to thesubjective-equivalence words.
 10. The computer-implemented method ofclaim 9 wherein the two-dimensional coordinates are Cartesiancoordinates.
 11. The computer-implemented method of claim 10 furthercomprising the step of executing the word analysis function of thecomputer system to convert the Cartesian coordinates associated with thesubjective-equivalence words into polar coordinates.
 12. Acomputer-implemented method of generating text to reflect a selectableattitudinal mindset associated with that text, the computer-implementedmethod using a computer system having (i) a plurality ofcomputer-implemented functions, and (ii) one or more databases, thecomputer-implemented method comprising the steps of: a) executing amapping function of the computer system to select locations and/ormetric indices of interest for subjective words to include in thegeneration of the text; b) executing a word analysis function of thecomputer system that (i) returns two-dimensional coordinatescorresponding to the selected geographic locations of interest; and (ii)returns from the one or more databases subjective words associated withthe returned two-dimensional coordinates; and c) executing a textgenerating function of the computer system to generate text includingthe returned subjective words and reflective of the attitudinal mindset.13. The computer-implemented method of claim 12 wherein thetwo-dimensional coordinates are Cartesian coordinates.
 14. Thecomputer-implemented method of claim 13 further comprising the step ofexecuting the word analysis function of the computer system to convertthe Cartesian coordinates associated with the subjective words intopolar coordinates.
 15. A computer-implemented method of decomposingsubjective words, the computer-implemented method using a computersystem having one or more computer-implemented functions, thecomputer-implemented method comprising the step of executing a wordanalysis function of the computer system that decomposes the subjectivewords into attitudinal equivalence and reference category.
 16. Thecomputer-implemented method of claim 15 wherein the attitudinalequivalence comprises magnitude and tone.
 17. The computer-implementedmethod of claim 15 further comprising the step of mapping the decomposedsubjective words into polar coordinates.
 18. The computer-implementedmethod of claim 17 further comprising the step of analyzing textcontaining the decomposed subjective words to determine an attitudinalstate of the text generator.
 19. The computer-implemented method ofclaim 17 further comprising the step of generating text containing thedecomposed subjective words to present a selectable attitudinal state ofthe text generator.
 20. The computer-implemented method of claim 15wherein subjective words of different languages are decomposed into thesame attitudinal equivalence and reference category.
 21. Thecomputer-implemented method of claim 15 wherein there is a plurality ofreference categories for the subjective words and wherein each of theplurality of reference categories has an associated independent line ofposition.
 22. The computer-implemented method of claim 21 wherein thelines of position of two or more of the plurality of referencecategories intersect.
 23. The computer-implemented method of claim 21further comprising as part of the step of executing the word analysisincludes the steps of superimposing the independent lines of positionand demarking a general tone of text including the subjective wordswhere the superimposed lines of position intersect.